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{\an1}- In the final hour-long chess match between man and machine
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Coded Bias

{\an1}- In the final hour-long chessmatch between man and machine, {\an1}Kasparov was...

{\an1}- In the final hour-long chess
match between man and machine, {\an1}Kasparov was defeated by IBM
Deep Blue supercomputer

Full Transcript

00:00:01.000 --> 00:00:04.976
{\an1}- In the final hour-long chess match between man and machine,
00:00:05.000 --> 00:00:07.976
{\an1}Kasparov was defeated by IBM Deep Blue supercomputer.
Duration
8 seconds
Views
35
Timestamp in Movie
00:05:55
Uploaded
May 26, 2025
Genres
documentary
Production
7th Empire Media,Independent Lens,ITVS,JustFilms / Ford Foundation,Chicken & Egg Films,Women Make Movies,The Alfred P. Sloan Foundation Production Grant,Sundance Institute

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Movie Summary

When MIT Media Lab researcher Joy Buolamwini discovers that facial recognition does not see dark-skinned faces accurately, she embarks on a journey to push for the first-ever U.S. legislation against bias in algorithms that impact...
{\an1}- Intelligence was defined as the ability - Coded Bias 00:08
{\an1}- Intelligence was defined as the ability
{\an1}- As chess world champion Garry Kasparov - Coded Bias 00:08
{\an1}- As chess world champion Garry Kasparov
{\an1}- Of course, intelligence is so much more than that, - Coded Bias 00:06
{\an1}- Of course, intelligence is so much more than that,
Our ideas about technology and society - Coded Bias 00:13
Our ideas about technology and society
{\an1}But the problem is that - Coded Bias 00:10
{\an1}But the problem is that
[dramatic music] - Coded Bias 00:12
[dramatic music]
{\an1}After I had the experience of putting on a white mask - Coded Bias 00:12
{\an1}After I had the experience of putting on a white mask
{\an1}It turned out these algorithms performed better - Coded Bias 00:08
{\an1}It turned out these algorithms performed better
{\an7}They performed significantly - Coded Bias 00:08
{\an7}They performed significantly
{\an1}If you're thinking about data in artificial intelligence, - Coded Bias 00:07
{\an1}If you're thinking about data in artificial intel...
{\an1}Data's what we're using to teach machines - Coded Bias 00:12
{\an1}Data's what we're using to teach machines
{\an1}When you think of AI, - Coded Bias 00:13
{\an1}When you think of AI,
[light tense music] - Coded Bias 00:09
[light tense music]
I started to think this kind of technology - Coded Bias 00:44
I started to think this kind of technology
[bell rings] - Coded Bias 00:08
[bell rings]
{\an1}I was excited to know that there was somebody else - Coded Bias 00:11
{\an1}I was excited to know that there was somebody else
These algorithms can be destructive - Coded Bias 00:06
These algorithms can be destructive
{\an8}I started realizing that mathematics was actually - Coded Bias 00:07
{\an8}I started realizing that mathematics was actually
{\an8}[quirky music] - Coded Bias 00:15
{\an8}[quirky music]
{\an1}or whatever you wanna call it, algorithms... is power, - Coded Bias 00:08
{\an1}or whatever you wanna call it, algorithms... is power,